Project Manager - AI

Opus Technologies; Pune District; On-site; INR 1,500,000 - 2,600,000; Full time

Job summary

Opus Technologies in Pune, India, is seeking a seasoned Program Delivery Manager to own end-to-end delivery of enterprise AI platforms for external clients. You will shepherd foundation data assets through component build, system integration, and a fixed pilot go-live, coordinating a cross-functional team and reporting progress to stakeholders.

The role requires 7+ years of delivery leadership, hands-on experience with ML systems or large language models, and strong skills in stakeholder

Qualifications

• 7+ years including technical execution + delivery management + ownership of client-facing engagements.
• Experience delivering production enterprise systems involving machine learning or large language models; direct experience with agentic and retrieval-based systems is preferred.
• Experience running multi-module programs with parallel tracks and objective milestone tracking against a fixed timeline.

Responsibilities

• Program ownership: Drive and track delivery from foundation build through integration and pilot go-live against a fixed timeline, reporting objective completion status per workstream.
• Cross-functional coordination: Run the delivery cadence across data/domain modeling, architecture, engineering, integration, security and governance, evaluation, and solutions-engineering roles.
• Program stewardship: Manage the engagement toward its committed scope, margin, and contractual milestones, and support the path from pilot to expanded or renewed engagement.
• Risk management: Actively surface and manage the engagement's structural trade-offs, including data-boundary and third-party processing exposure, cost behaviour under volume growth, and scope integrity against use cases.
• Executive reporting: Report delivery status, budget burn, risk posture, and pilot readiness to client and internal stakeholders on a fixed cadence.

Skills

Delivery management

Client-facing engagements

ML systems experience

Agent orchestration

Stakeholder management

Job description

Own end-to-end delivery of enterprise AI platforms build for a external clients, from foundational knowledge/data assets through component build, system integration, and a production pilot. Serve as the single point of accountability across a cross-functional pod spanning data modelling, solution architecture, engineering, security, compliance, evaluation, and pre-sales. Convert a phased delivery plan into a staffed, budgeted, milestone-tracked program executed inside a fixed engagement window.

Key Responsibilities

• Program ownership. Drive and track delivery from foundation build through integration and pilot go-live against a fixed timeline, reporting objective completion status per workstream.
• Cross-functional coordination. Run the delivery cadence across data/domain modeling, architecture, engineering, integration, security and governance, evaluation, and solutions-engineering roles.
• Program stewardship. Manage the engagement toward its committed scope, margin, and contractual milestones, and support the path from pilot to expanded or renewed engagement.
• Risk management. Actively surface and manage the engagement's structural trade-offs, including data-boundary and third-party processing exposure, cost behaviour under volume growth, and scope integrity against use cases better served by a different architectural approach.
• Executive reporting. Report delivery status, budget burn, risk posture, and pilot readiness to client and internal stakeholders on a fixed cadence.

Required Qualifications

• 7+ years including technical execution + delivery management + ownership of client-facing engagements.
• Working knowledge of retrieval-augmented generation, agent orchestration, prompt and context design, and model evaluation, sufficient to scope work and challenge engineering estimates.
• Demonstrated delivery of production enterprise systems involving machine learning or large language models; direct experience with agentic and retrieval-based systems is strongly preferred.
• Experience running multi-module programs with parallel tracks and objective milestone tracking against a fixed timeline.
• Strong stakeholder management across engineering, domain SMEs, security and compliance, and commercial teams.

Preferred Qualifications

• Experience delivering into regulated industries (financial services, healthcare, insurance, technology, or similar).
• Experience in a professional services, consulting, or systems-integrator delivery model.
• Program management certification (PMP, SAFe, or equivalent).